Time Series 101: sMAPE Forecast Accuracy

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  • เผยแพร่เมื่อ 24 ส.ค. 2024

ความคิดเห็น • 7

  • @lbognini
    @lbognini ปีที่แล้ว +3

    At 10:13, the last column is not sMAPE but sAPE. This can be confusing.
    Great job nonetheless. 👍🏾

    • @BrandonFoltz
      @BrandonFoltz  ปีที่แล้ว +2

      True! I got ahead of myself but hopefully everyone understands. ☺️

    • @lbognini
      @lbognini ปีที่แล้ว +1

      @@BrandonFoltz YEAH!
      I knew nothing about sMAPE before your video. My comment does show it was understandable. Yet, I had to think twice before I got the sequence right. 😉
      In the same way you try to make us better through your videos, we also try to be useful through our feedbacks that we hope will make things better and better.
      Thanks for being such open-minded. 👍🏾

  • @SimonZimmermann82
    @SimonZimmermann82 ปีที่แล้ว

    Awesome explanation

  • @SuperHddf
    @SuperHddf ปีที่แล้ว

    Excellent, thank you ❤

  • @FredoCorleone
    @FredoCorleone ปีที่แล้ว

    Why did you use At instead of Yi? I think it should have been i because of the summation has i=1 to n and Y because in the first or second video of the previous playlist you introduced Y as value for a given period, not A

  • @sanjaybhargav8896
    @sanjaybhargav8896 ปีที่แล้ว

    Hello Brandon,
    Can you recommend me books that help to improve my probability and statistics for machine learning